{"id":"W2995604272","doi":"10.1152/ajpendo.00457.2019","title":"A pipeline for multidimensional confocal analysis of mitochondrial morphology, function, and dynamics in pancreatic β-cells","year":2019,"lang":"en","type":"article","venue":"American Journal of Physiology-Endocrinology and Metabolism","topic":"Mitochondrial Function and Pathology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":429,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Foundation for Innovation; Government of Canada; Juvenile Diabetes Research Foundation International","keywords":"Confocal; Morphology (biology); Dynamics (music); Pipeline (software); Function (biology); Confocal microscopy; Cell biology; Biological system; Chemistry; Computer science; Biology; Physics; Zoology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000170253,0.0001816525,0.0009435325,0.0003939504,0.00003471975,0.000002397306,0.00009523465,0.0001408995,0.00003934915],"category_scores_gemma":[0.0001162479,0.0001542879,0.0002008958,0.0002347345,0.000604426,0.000008662762,0.00006626129,0.0002089226,0.000001221655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008643537,"about_ca_system_score_gemma":0.00006743264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005121412,"about_ca_topic_score_gemma":0.00005466089,"domain_scores_codex":[0.9985028,0.0002674572,0.0005547793,0.0003387981,0.00006378003,0.0002724176],"domain_scores_gemma":[0.998824,0.0001769284,0.0005170274,0.0001950506,0.0002057742,0.00008123223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002993445,0.0001052027,0.01012995,0.00001520372,0.0007377039,0.000002291202,0.0000406898,0.0002635336,0.9808519,0.003104824,0.0002551657,0.00150002],"study_design_scores_gemma":[0.03152354,0.01220123,0.7849054,0.00006569603,0.007792661,0.00109096,0.004107072,0.009187122,0.1033014,0.002454591,0.04196154,0.001408802],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916394,0.001228873,0.005718166,0.0001484793,0.0009929301,0.0001903856,0.00005206718,0.000002829118,0.00002690325],"genre_scores_gemma":[0.9934006,0.0006250917,0.005000869,0.0004658989,0.0002464333,0.00001052763,0.00006128046,0.0000125149,0.0001767417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8775506,"threshold_uncertainty_score":0.6291677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005454516178496203,"score_gpt":0.2356328231009985,"score_spread":0.2301783069225023,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}